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This lecture covers the definition of the Fourier transform according to Risken, the concept of spectral densities, the gated Fourier transform for real signals limited in time, the Wiener-Khinchin theorem, and the Langevin equation for Brownian motion. It also discusses the two-force hypothesis, the Wiener increment, and Itō's lemma in stochastic processes.